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Brańka A.C.
artykuł
Several Brownian Dynamics numerical schemes for treating stochastic differential equations atthe position Langevin level are analyzed from the point of view of their algorithmic efficiency. The algorithmsare tested using model colloidal fluid of particles interacting via the Yukawa potential. Limitationsin the conventional Brownian Dynamics algorithm are shown and it is demonstrated that much betteraccuracy for dynamical and static quantities can be achieved with an algorithm based on the stochasticexpansion and second-order stochastic Runge-Kutta algorithms. Mutual merits of the second-order algorithmsare discussed.
Poznań
OWN
application/pdf
oai:lib.psnc.pl:490
eng
Jul 29, 2014
May 22, 2014
326
https://lib.psnc.pl/publication/582
RDF
OAI-PMH
Brańka A.C. Pieprzyk S.
Brańka A.C. Heyes D.M
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